R: compute the most probable values to be observed.

get.most.probable.values {bnstruct} | R Documentation

## compute the most probable values to be observed.

### Description

Return an array containing the values that each variable of the network is more likely to take, according to the CPTS. In case of ties take the first value.

### Usage

    get.most.probable.values(x, prev.values = NULL)

    ## S4 method for signature 'BN'
    get.most.probable.values(x, prev.values = NULL)

    ## S4 method for signature 'InferenceEngine'
    get.most.probable.values(x, prev.values = NULL)

### Arguments

`x` | a `BN` or `InferenceEngine` object.
`prev.values` | vector of size `num.nodes` containing an existing observation to complete (NULL if none).

### Value

array containing, in each position, the most probable value for the corresponding variable.

### Examples

    ## Not run:
    # try with a BN object x
    get.most.probable.values(x)

    # now build an InferenceEngine object
    eng <- InferenceEngine(x)
    get.most.probable.values(eng)

    ## End(Not run)

[Package bnstruct version 1.0.11 Index]